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Panel Discussion: Trends in Generative AI

on YouTube 32m
Panelat NODES 2024 · on Thursday, 2024-11-07· [large-language-models]

speakers

name:Andreas Kollegger
website:https://neo4j.com
name:Ashleigh Faith
links:none on file
name:Jeng Yang Chia
links:none on file
name:Lauren Sharman
links:none on file

resources

video:https://youtu.be/utpguI1b_Wo
slides:none on file

summary

Panelists argue the practical shift from chatting with PDFs to agentic AI that autonomously plans and executes workflows, while multi‑agent systems expose uncertainty and need knowledge‑graph guardrails. Startups target vertical AI—insurance pricing, legal ops, clinician note‑taking—using proprietary data and graph databases; enterprise blockers remain hallucinations, explainability, LLM costs and regulatory risk (EU AI Act). Concrete wins include agentic notes for doctors and an AI co‑pilot for dynamic cyber‑attack simulation, but data cleaning and selective exposure of unique data prove critical.

AI-written summary · about

chapters (14)

  1. 0:00Introduction and panel
  2. 1:18Introducing the experts
  3. 3:36Moving beyond chatbots
  4. 6:30Role of knowledge graphs
  5. 8:12Personal and enterprise data
  6. 10:46Vertical AI opportunities
  7. 13:01Startup trends and growth
  8. 15:24Enterprise in-house adoption
  9. 17:25Ethics and regulations
  10. 20:14Implementation and AGI
  11. 22:20Data quality and preparation
  12. 24:29AGI expectations vs reality
  13. 27:09Data privacy considerations
  14. 29:05Closing advice

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